Specialist in Business Analytics
Delivery mode
- Face-to-face and online
Language
- Spanish
Credits
- 20
Places
- 35
Specialist in Business Analytics
CUNEF Universidad’s Business AnalyticsSpecialist programme delves into the data analytics techniques, systems and tools required to develop projects and make business decisions based on large volumes of information, helping our students become Artificial Intelligence Analysts. The aim is to equip participants with the skills and knowledge they need to make sense of corporate and industry data and provide strategic advice.
NTT Data Europe & Latam is CUNEF Universidad’s institutional partner in this programme. Experts from the organisation participate as lecturers, contributing their extensive experience in business analytics projects in all industries. NTT DATA is the 6th largest IT services provider in the world, with 140,000 professionals operating in more than 50 countries. NTT DATA Europe & Latam was born from the alliance between everis and NTT DATA EMEA to bring transformation and innovation to clients in Europe and Latin America.
Curriculum
Using a practical and highly rigorous approach, the programme moves forward progressively, to achieve a paradigm shift from management by instinct to management based on data and their impact on business. The programme is designed to enhance participants’ professional skills and provide them with practical insights regarding:
- The fundamentals of data analytics projects and their impact on business decisions in data-driven project management.
- How to structure corporate information.
- How to extract value from data using R and Python programming.
- How to create business analysis reports with advanced visualisation techniques.
- How to use artificial intelligence (machine learning) in business analytics projects.
The Business Analytics Specialist programme includes the following modules:
| Content | ECTS |
|---|---|
| This module aims to familiarise participants with the principles, practices and approaches that are commonly used for data analysis in the corporate world. They will study the algorithms and statistical models used to analyse and make business decisions in different industries and roles. Once they successfully complete this module, participants will: - Understand the techniques used most frequently in exploratory data analysis models. - Master the concepts required to develop demand forecasting models. - Become familiar with predictive analysis processes for decision making. - Understand the methods used in the creation of data-driven business projects. | 4 |
| Content | ECTS |
|---|---|
| This module enables professionals with all sorts of backgrounds and training to become familiar with relational databases and SQL language. The module aims to ensure that participants: - Master the principles of corporate database design. - Understand the scope and specifications of relational databases, as well as the capacity of SQL language. - Learn how to use relational databases as data repositories, so they can be used as a basis for data analysis in corporate environments from a business expert’s perspective. - Acquire the knowledge, procedures and good practices that will enable them to operate relational databases using SQL language. They will learn to organise the transformation and retrieval of the data so they can be analysed using tools such as R or Python or visualised using tools such as Tableau or Power BI. - Develop the necessary technical skills to integrate and aggregate data and access information on related tables. - Understand the problems that may arise when migrating data from a management system to an analysis system. - Learn to consider different data preparation strategies. | 4 |
| Content | ECTS |
|---|---|
| The purpose of this module is to teach professionals the basic skills required to understand and apply one of the most relevant languages used in business analytics: Python. The specific learning outcomes are: - Understand the use of Python in data projects. - Transition from spreadsheets to a programming language. - Use code to solve specific data tasks. - Propose data structures (importing and exporting datasets). - Master the use of Pandas to transform data. | 5 |
| Content | ECTS |
|---|---|
| Humans are essentially visual by nature, which is why we respond to and process visual data better than any other type of data. The difference between a good report and an excellent one lies in visualisation. During this module, participants work with different visualisation tools, always with the help of expert professionals, to create the most appropriate presentations and reports for each audience. These tools can be used to integrate information from different sources, relate it and automate it according to specific management criteria. Participants will learn to: - Model data in Power BI. - Design effective charts, indicators and dashboards. - Build business intelligence applications. - Create effective business analytics presentations using Power BI. - Incorporate business analytics to big data and the corporate world. | 4 |
| Content | ECTS |
|---|---|
| This module uses a practical approach that enables participants to acquire data analysis skills for business decision making using artificial intelligence systems (machine learning). In a hyperconnected world, it is vital to understand what information is available, learn how to collect the relevant data and know how to extract value from them. Participants become familiar with supervised learning and data classification techniques, as well as statistical concepts and algorithms aimed at identifying behavioural patterns and processes to infer trends and make business predictions. They will: - Become familiar with machine learning techniques applied to business analytics (terminology and main concepts). - Know and understand the requirements for the use of machine learning techniques to create business intelligence projects (pattern recognition, dimensionality reduction, feature selection...). - Know the modelling techniques that are frequently used to manage structured and unstructured data (descriptive analysis, neural networks, deep learning, clustering...). - Learn the techniques used to transform unstructured data (texts, sounds, images...) into data that can be analysed and used in business intelligence projects. | 5 |
Who is it aimed at?
The Business Analytics Specialist programme is aimed at experienced professionals who wish to specialise further and boost their career by learning how to apply business analytics techniques to their field. The content of the programme can be applied productively in many activities and sectors, including banking and financial services, consulting, advertising, IT and telecommunications, consumer goods, health, education, etc., which is why participants have a very diverse profile, including:
- Executives and managers who seek to improve their business decision-making skills harnessing the power of data.
- Consultants and advisors who want to improve their business analytics skills.
- Technical experts who need to implement analytics in their role or organisation.
- Technical managers (sales, marketing, operations, logistics, HR, production...) who need data analysis skills to perform their role.
We use a blended delivery model
The programme lasts one term (October-February), during which we cover all the content included in the different modules using a blended model that combines face-to-face or live online sessions with virtual activities.
- Face-to-face or live online sessions.
The synchronous sessions take place on Friday afternoons from 4 to 9 p.m., and one Saturday per month from 10:30 a.m. to 1:30 p.m. Participants may attend these sessions face-to-face on campus or live online using a video conferencing platform. These options enable participation regardless of geographic location. The sessions are recorded and available on CUNEF Universidad’s Virtual Campus.
- Virtual activities.
In each module, participants work using virtual content and carry out various projects online, guided by their professors.
During the programme, participants will use the following work methodologies:
- Individual study and work using online material, texts, explanatory videos, case studies, discussion forums and self-assessment tools
- Model design using technical tools
- Practical case studies
- Discussion sessions and hands-on work with professors and collaborating experts
- Capstone Project. During the programme, participants create a project with a practical approach adapted to their specific field
Employability
As CUNEF Universidad graduates, Business Analytics Specialists enjoy high employability rates (96.67%) and excellent career prospects.
Business analytics techniques are experiencing an unprecedented boom and represent an important lever for transformation in the corporate world. The digital revolution is creating deep changes in consumer habits and business models in all types of industries. This, together with hyperconnectivity and the exponential increase in computational capacity, is generating massive job opportunities.
This Business Analytics Specialist programme is aimed at professionals who want to harness this potential to add value to the strategies and business projects of their companies and corporations.